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Add Speaking parts.

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This commit is contained in:
Cristiano Ferreira
2023-06-29 22:44:03 +01:00
parent 0b661fe108
commit 0a53f2c1b8
3 changed files with 132 additions and 15 deletions
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50
app.py
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@@ -4,6 +4,7 @@ from functools import reduce
import firebase_admin
from firebase_admin import credentials
from helper.api_messages import QuestionType, get_grading_messages, get_question_gen_messages
from helper.file_helper import delete_files_older_than_one_day
from helper.firebase_helper import download_firebase_file
from helper.speech_to_text_helper import speech_to_text
from helper.token_counter import count_tokens
@@ -25,7 +26,7 @@ cred = credentials.Certificate(os.getenv("GOOGLE_APPLICATION_CREDENTIALS"))
firebase_admin.initialize_app(cred)
GRADING_TEMPERATURE = 0.1
GEN_QUESTION_TEMPERATURE = 0.7
GEN_QUESTION_TEMPERATURE = 0.9
GRADING_FIELDS = ['overall', 'comment', 'task_response']
GEN_FIELDS = ['question']
@@ -76,9 +77,10 @@ def get_writing_task_2_question():
except Exception as e:
return str(e)
@app.route('/speaking_task', methods=['POST'])
@app.route('/speaking_task_1', methods=['POST'])
@jwt_required()
def grade_speaking_task():
def grade_speaking_task_1():
delete_files_older_than_one_day(AUDIO_FILES_PATH)
sound_file_name = AUDIO_FILES_PATH + str(uuid.uuid4())
try:
data = request.get_json()
@@ -88,7 +90,7 @@ def grade_speaking_task():
download_firebase_file(FIREBASE_BUCKET, answer_firebase_path, sound_file_name)
answer = speech_to_text(sound_file_name)
messages = get_grading_messages(QuestionType.SPEAKING, question, answer)
messages = get_grading_messages(QuestionType.SPEAKING_1, question, answer)
token_count = reduce(lambda count, item: count + count_tokens(item)['n_tokens'],
map(lambda x: x["content"], filter(lambda x: "content" in x, messages)), 0)
response = make_openai_call(messages, token_count, GRADING_FIELDS, GRADING_TEMPERATURE)
@@ -98,11 +100,11 @@ def grade_speaking_task():
os.remove(sound_file_name)
return str(e)
@app.route('/speaking_task', methods=['GET'])
@app.route('/speaking_task_1', methods=['GET'])
@jwt_required()
def get_speaking_task_question():
def get_speaking_task_1_question():
try:
messages = get_question_gen_messages(QuestionType.SPEAKING)
messages = get_question_gen_messages(QuestionType.SPEAKING_1)
token_count = reduce(lambda count, item: count + count_tokens(item)['n_tokens'],
map(lambda x: x["content"], filter(lambda x: "content" in x, messages)), 0)
response = make_openai_call(messages, token_count, GEN_FIELDS, GEN_QUESTION_TEMPERATURE)
@@ -110,6 +112,40 @@ def get_speaking_task_question():
except Exception as e:
return str(e)
@app.route('/speaking_task_2', methods=['POST'])
@jwt_required()
def grade_speaking_task_2():
delete_files_older_than_one_day(AUDIO_FILES_PATH)
sound_file_name = AUDIO_FILES_PATH + str(uuid.uuid4())
try:
data = request.get_json()
question = data.get('question')
answer_firebase_path = data.get('answer')
download_firebase_file(FIREBASE_BUCKET, answer_firebase_path, sound_file_name)
answer = speech_to_text(sound_file_name)
messages = get_grading_messages(QuestionType.SPEAKING_2, question, answer)
token_count = reduce(lambda count, item: count + count_tokens(item)['n_tokens'],
map(lambda x: x["content"], filter(lambda x: "content" in x, messages)), 0)
response = make_openai_call(messages, token_count, GRADING_FIELDS, GRADING_TEMPERATURE)
os.remove(sound_file_name)
return response
except Exception as e:
os.remove(sound_file_name)
return str(e)
@app.route('/speaking_task_2', methods=['GET'])
@jwt_required()
def get_speaking_task_2_question():
try:
messages = get_question_gen_messages(QuestionType.SPEAKING_2)
token_count = reduce(lambda count, item: count + count_tokens(item)['n_tokens'],
map(lambda x: x["content"], filter(lambda x: "content" in x, messages)), 0)
response = make_openai_call(messages, token_count, GEN_FIELDS, GEN_QUESTION_TEMPERATURE)
return response
except Exception as e:
return str(e)
if __name__ == '__main__':
app.run()